Results of study of long-fiber flax’s collection material by the parameters of economically valuable traits
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cultivated common flax (Linum usitatissimum L.) is a traditional Russian technological crop of complex usage. Estimation of seasonal effects in economically valuable traits (productivity of straw and seeds; content of fiber and its quality) of long-fiber flax under conditions of Volga-Vyatka region (Kirov region) in 2014 - 2017 is presented in the article. Objects of study - 140 varieties of long-fiber flax different in ecological and geographic origin. Stable and plastic traits are selected according to correlation coefficient. Strong “genotype - environment” interactions were expressed by seed productivity, number of bolls and seed per plant; moderate interactions - by productivity of straw and fiber; weak interactions - by plant length, fiber content, 1000-grain mass. Strong correlation is pointed out between straw productivity and total and technical plant height (r = 0.71±0.09.. ,0.78±0.08) in average for years of study. Sources are selected for most important directions of long-fiber flax breeding: for straw productivity - Sinel, Vizit (Russia). Merilin (The Netherlands Soglasie (Belarus), Heiya 11, Heiyal2 (China); for seed productivity - Priboj, Sinichka, Er-27 (Russia), Ottawa (Canada), Soglasie (Belarus), Belinka, Merilin (The Netherlands); for fiber content- Mirazh, Peresvet, Tverskoj, Pskovsky-93, Dobrynya (Russia); Merilin (The Netherlands); Charivny, Zaryanka (Ukraine); for fiber durability - Soglasie (Belarus), Sinel, Pskovsky-93 (Russia), Kamenyar, Baltuchaj (Ukraine), B-179 (Lithuania); for fiber flexibility - Flax of Heilonjiang № 7, Huaguang 2, Heiya 11, Heiya 13 (China); Honkei-25 (Japan), Kamenyar (Ukraine), Priboj (Russia). By a complex of economically valuable traits the following genotypes are selected: Sinel, TOST 3, Peresvet (Russia), Flax of Heilonjiang № 13 and Heiya 12 (China), Merilin (The Netherlands).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it